根据短期交通计数设计高速公路节点的每小时流量估算

IF 1.6 4区 工程技术 Q3 ENGINEERING, CIVIL Transportation Research Record Pub Date : 2023-09-16 DOI:10.1177/03611981231195052
Marvin V. Baumann, Magdalena Schilling, Markus Friedrich, Sebastian Reichert, Peter Vortisch, Volker Wassmuth
{"title":"根据短期交通计数设计高速公路节点的每小时流量估算","authors":"Marvin V. Baumann, Magdalena Schilling, Markus Friedrich, Sebastian Reichert, Peter Vortisch, Volker Wassmuth","doi":"10.1177/03611981231195052","DOIUrl":null,"url":null,"abstract":"This paper extends the concept of a design hourly volume (DHV) which is derived from the “ nth hour” to a concept based on the nth highest saturated hour. To calculate this nth highest saturated hour at each ramp junction of a node, it is necessary to have permanent traffic counts (PTC) on all ramps and the main lanes. In practice, such counts are often not available. For such cases, the German Highway Capacity Manual proposes a method that enables the estimation of DHV through short-term traffic counts (STCs) and the extrapolation of the results using available PTC in the vicinity. This study examines how accurately the required nth highest saturated hour can be estimated with this method and similar concepts. Furthermore, we investigate to what extent the number and the location of the available PTC affect the accuracy of the estimation. Scenarios without PTC are also considered. The evaluation is based on a database with a total of 72 freeway nodes for which PTC data from three years (2017–2019) are processed. The results show that the estimation of the nth highest saturated hour with the method of the German Highway Capacity Manual works accurately, even if only one PTC is available on each inflowing approach. The results further indicate that STC are crucial to achieve accurate results when few PTCs are available. Acceptable results are also obtained by STC of one week, even without a projection at a PTC.","PeriodicalId":23279,"journal":{"name":"Transportation Research Record","volume":"17 1","pages":"0"},"PeriodicalIF":1.6000,"publicationDate":"2023-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design Hourly Volume Estimation at Freeway Nodes From Short-Term Traffic Counts\",\"authors\":\"Marvin V. Baumann, Magdalena Schilling, Markus Friedrich, Sebastian Reichert, Peter Vortisch, Volker Wassmuth\",\"doi\":\"10.1177/03611981231195052\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper extends the concept of a design hourly volume (DHV) which is derived from the “ nth hour” to a concept based on the nth highest saturated hour. To calculate this nth highest saturated hour at each ramp junction of a node, it is necessary to have permanent traffic counts (PTC) on all ramps and the main lanes. In practice, such counts are often not available. For such cases, the German Highway Capacity Manual proposes a method that enables the estimation of DHV through short-term traffic counts (STCs) and the extrapolation of the results using available PTC in the vicinity. This study examines how accurately the required nth highest saturated hour can be estimated with this method and similar concepts. Furthermore, we investigate to what extent the number and the location of the available PTC affect the accuracy of the estimation. Scenarios without PTC are also considered. The evaluation is based on a database with a total of 72 freeway nodes for which PTC data from three years (2017–2019) are processed. The results show that the estimation of the nth highest saturated hour with the method of the German Highway Capacity Manual works accurately, even if only one PTC is available on each inflowing approach. The results further indicate that STC are crucial to achieve accurate results when few PTCs are available. Acceptable results are also obtained by STC of one week, even without a projection at a PTC.\",\"PeriodicalId\":23279,\"journal\":{\"name\":\"Transportation Research Record\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2023-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Research Record\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/03611981231195052\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Record","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/03611981231195052","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0

摘要

本文将从“第n小时”推导出的设计小时体积(DHV)概念扩展为基于第n个最高饱和小时的概念。为了计算节点的每个匝道交叉口的第n个最高饱和小时,必须在所有匝道和主要车道上有永久交通计数(PTC)。在实践中,这样的计数通常是无法获得的。对于这种情况,《德国公路通行能力手册》提出了一种方法,可以通过短期交通计数(STCs)来估计DHV,并利用附近可用的PTC来推断结果。本研究考察了用这种方法和类似的概念估计所需的第n个最高饱和小时的准确性。此外,我们还研究了可用PTC的数量和位置在多大程度上影响估计的准确性。还考虑了没有PTC的场景。该评估基于一个数据库,该数据库共有72个高速公路节点,其中处理了三年(2017-2019)的PTC数据。结果表明,在每条入流路径上只有一个PTC可用的情况下,用德国公路通行能力手册的方法估计第n个最高饱和小时是准确的。结果进一步表明,在ptc较少的情况下,STC对于获得准确的结果至关重要。即使在PTC上没有投影,一周的STC也可以获得可接受的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Design Hourly Volume Estimation at Freeway Nodes From Short-Term Traffic Counts
This paper extends the concept of a design hourly volume (DHV) which is derived from the “ nth hour” to a concept based on the nth highest saturated hour. To calculate this nth highest saturated hour at each ramp junction of a node, it is necessary to have permanent traffic counts (PTC) on all ramps and the main lanes. In practice, such counts are often not available. For such cases, the German Highway Capacity Manual proposes a method that enables the estimation of DHV through short-term traffic counts (STCs) and the extrapolation of the results using available PTC in the vicinity. This study examines how accurately the required nth highest saturated hour can be estimated with this method and similar concepts. Furthermore, we investigate to what extent the number and the location of the available PTC affect the accuracy of the estimation. Scenarios without PTC are also considered. The evaluation is based on a database with a total of 72 freeway nodes for which PTC data from three years (2017–2019) are processed. The results show that the estimation of the nth highest saturated hour with the method of the German Highway Capacity Manual works accurately, even if only one PTC is available on each inflowing approach. The results further indicate that STC are crucial to achieve accurate results when few PTCs are available. Acceptable results are also obtained by STC of one week, even without a projection at a PTC.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Transportation Research Record
Transportation Research Record 工程技术-工程:土木
CiteScore
3.20
自引率
11.80%
发文量
918
审稿时长
4.2 months
期刊介绍: Transportation Research Record: Journal of the Transportation Research Board is one of the most cited and prolific transportation journals in the world, offering unparalleled depth and breadth in the coverage of transportation-related topics. The TRR publishes approximately 70 issues annually of outstanding, peer-reviewed papers presenting research findings in policy, planning, administration, economics and financing, operations, construction, design, maintenance, safety, and more, for all modes of transportation. This site provides electronic access to a full compilation of papers since the 1996 series.
期刊最新文献
Acute Bilateral Optic Neuropathy: A Rare Presentation of Wernicke Encephalopathy. Simulation Study of Pedestrians Evacuation Considering Aggressive Behavior Analyzing Freeway Safety Influencing Factors Using the CatBoost Model and Interpretable Machine-Learning Framework, SHAP Numerical Analysis of Error From Sampling of Alternatives in Logit-Based Demand Forecasting Models with Massive Choice Sets Bus Operation Safety Business Intelligence Solution: Applying Analytics for Key Performance Indicator, Investigation, and Targeted Actions Analyses with a Centralized Data Warehouse
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1